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18 May 2026: Weekly Update – AI Rotation, Healthcare Valuations and Market Concentration

Weekly Update
Thematic Investing

Capital continued flowing aggressively toward AI-related sectors, creating a historically wide valuation gap between technology and healthcare equities.

The dominant equity-market story of 2026 has been the abrupt rotation into AI from the market lows in Q1. For the most part, much has been written about those firms benefiting from the trade while less attention has been paid to those being crowded out. Healthcare, a sector we wrote about constructively at the start of the year, has spent the last six weeks on the wrong side of a flow-driven market. On that note, we caught up last week with Gareth Powell, manager of the Polar Capital Healthcare Opportunities Fund - a long-standing holding within the T. Bailey funds of funds - to consider the case now presented by a gap between fundamental value and current market price.

Mega-cap technology, semiconductors and the broader AI complex have continued to absorb capital with a momentum that has left little room for any competing narrative, and the funding for this rotation has had to come from somewhere. The healthcare sector has been among the more notable donors. A duration argument has also played a role: pharmaceutical, medical technology and biotechnology businesses generate cash flows that extend well into the future, and the energy-driven inflation impulse described in our recent updates has lifted yields across the curve in ways that mechanically compress present values. But the extent of the de-rating goes considerably further than bond markets alone can explain.

Healthcare versus Technology: Relative Price and Forward Earnings

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Source: T. Bailey, LSEG Workspace. World-DS Health Care Index relative to World-DS Technology Index.

On a forward price-earnings basis, the gap between the two sectors appears modest. On a pure price basis, however, the relative-price line between the two sectors captures not just current earnings but the market's aggregate bet on long-run cash flows, earnings growth and capital allocation. On that measure, the ratio is back to levels last seen at the peak of the dot-com bubble in 1999-2000. That episode was followed by two years in which healthcare materially outperformed an unwinding technology trade. We are not in the business of forecasting precise turning points, and the AI narrative may yet have further to run before it consolidates, but we do note that the present configuration is reached only at moments of extreme dislocation, and those moments have historically rewarded having patience.

It would be easier to rationalise the de-rating if the underlying businesses were struggling. They are not. With ageing demographics, utilisation continues to grind higher, supporting revenues. New product cycles in areas such as oncology, surgical robotics and obesity care remain intact. The pressure driving this activity is structural rather than cyclical. The global pharmaceutical industry faces as much as US$300 billion of sales at risk from patent expirations by 2032, with the most acute concentration of loss-of-exclusivity events running into the early 2030s. Thus the imperative for companies to acquire late-stage biotech assets becomes strategically unavoidable. Deal premiums have remained healthy, and the small and mid-cap targets being acquired sit squarely within the most attractively valued parts of the market.

In the last week, Bristol-Myers Squibb announced a collaboration and licensing agreement with Chinese biotechnology firm Jiangsu Hengrui, covering thirteen early-stage programmes across oncology, haematology and immunology, with a US$600 million upfront payment and up to US$950 million in total near‑term payments over two years, and a potential overall deal value of up to about US$15.2 billion if all development, regulatory and commercial milestones are achieved. It is notable that an increasing share of innovation is coming from China, where drug developers can move a molecule from preclinical research to clinical-stage development in three to four years - roughly half the time the equivalent process can take in Europe or the United States. That speed advantage has historically been structural and regulatory in character; it is now being further compressed by the application of artificial intelligence to target identification, molecule design and trial optimisation. Some early studies and industry estimates suggest AI-driven efficiencies could reduce preclinical costs by 60% or more and shorten development timelines by up to 30% in their more optimistic scenarios.

The case for our existing allocation to healthcare within the T. Bailey funds has not weakened during the sector’s recent underperformance. Quite the reverse: an attractive absolute valuation, a historically extreme relative discount to technology, the most active M&A environment in years, and a fundamental backdrop largely unaffected by the AI rotation together make healthcare one of the more compelling set-ups available to us today. The trade requires patience, but the longer the rotation continues to compress healthcare valuations, the larger the eventual reversion is likely to be.

Bystanders to a boom rarely feel rewarded in the moment, but over the cycle, they often are.

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